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Analysis of color peel of the papaya cv. Sunrise Solo through of the mixed linear regression model The papaya (Carica papaya L.) has important importance in fruticulture and is among the six main products that add up to more than 50% of the national production of this sector. Papaya has a relatively rapid maturation. In order to increase commercial potential and possibly reduce post-harvest losses, digital image analysis is a technological tool to evaluate the color tone and intensity of fruit peel during the maturation period, which serves as the basis for establishing functional models for measurements performed over a period of time. In this context it has as motivation a longitudinal study involving the evaluation of the intensity and color tone of the shell of the papaya of the species Carica papaya L. in the maturation period. For the analysis of the data the methodology of the linear models of mixed effects is used and to select the models that best fit the data, was used a test of the likelihood ratio and test F, in a method of selection top-down. It can be verified that the quadratic polynomial model with random effect in all the parameters describes in a satisfactory way the variable tonality. For the intensity variable we obtained a cubic polynomial model for the random effects and only the intercept as a fixed effect parameter. Diagnostic analyzes confirmed the satisfactory fit of the models.

Análise da cor da casca do mamão cv. Sunrise Solo por meio de modelo de regressão linear misto